Triple

T11395322
Position Surface form Disambiguated ID Type / Status
Subject Agnew Meadows E269958 entity
Predicate near P350 FINISHED
Object Minaret Summit E917661 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Minaret Summit | Statement: [Agnew Meadows, near, Minaret Summit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minaret Summit
Context triple: [Agnew Meadows, near, Minaret Summit]
  • A. Minaret Summit chosen
    Minaret Summit is a high mountain pass in California’s Sierra Nevada that serves as a scenic overlook and gateway to the Reds Meadow Valley and the Minarets.
  • B. Sabika hill
    Sabika hill is the prominent hill in Granada, Spain, on which the historic Alhambra palace and fortress complex is built.
  • C. Mauka Tower
    Mauka Tower is one of the two high-rise residential condominium towers that make up the One Waterfront Towers complex in Honolulu, Hawaii.
  • D. Summit Hill
    Summit Hill is a historic, upscale residential neighborhood in Saint Paul, Minnesota, known for its Victorian-era homes and proximity to Grand Avenue’s shops and restaurants.
  • E. Alaeddin Hill
    Alaeddin Hill is a prominent historic mound and park in central Konya, Turkey, known for its ancient citadel ruins and panoramic views of the city.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d80018a58c81908b80dc9abd18d650 completed April 9, 2026, 7:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58cb43b988190876af2de4be49628 completed April 20, 2026, 2:17 a.m.
Created at: April 8, 2026, 9:34 p.m.